MultiLinearRegressionResult Class

Describes the result of a multiple linear regression fit.

Definition

Namespace: Meta.Numerics.Statistics
Assembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.2.0+6d77d64445f7d5d91b12e331399c4362ecb25333

C#

public sealed class MultiLinearRegressionResult : GeneralLinearRegressionResult

VB

Public NotInheritable Class MultiLinearRegressionResult
	Inherits GeneralLinearRegressionResult

C++

public ref class MultiLinearRegressionResult sealed : public GeneralLinearRegressionResult

F#

[<SealedAttribute>]
type MultiLinearRegressionResult = 
    class
        inherit GeneralLinearRegressionResult
    end

Inheritance: Object FitResult ResidualsResult GeneralLinearRegressionResult MultiLinearRegressionResult

Anova	Gets an ANOVA analysis of the regression. (Inherited from GeneralLinearRegressionResult)
F	Gets an F-test for the regression. (Inherited from GeneralLinearRegressionResult)
Intercept	Gets an estimate of the intercept. (Overrides GeneralLinearRegressionResultIntercept)
Parameters	Gets the parameters of the regression. (Inherited from FitResult)
Residuals	Gets a list of the residuals of the fit. (Overrides ResidualsResultResiduals)
RSquared	Gets r² for the regression. (Inherited from GeneralLinearRegressionResult)
SumOfSquaredResiduals	Gets the sum of the squares of all residuals. (Inherited from GeneralLinearRegressionResult)

CoefficientOf(Int32)	Gets the coefficient of the input with the given index.
CoefficientOf(String)	Gets the coefficient of the input with the given name.
Equals	Determines whether the specified object is equal to the current object. (Inherited from Object)
GetHashCode	Serves as the default hash function. (Inherited from Object)
GetType	Gets the Type of the current instance. (Inherited from Object)
Predict(Double)	Computes the predicted value of y for the given inputs.
Predict(IReadOnlyListDouble)	Computes the predicted y at a new value of x.
ToString	Returns a string that represents the current object. (Inherited from Object)